Risk Prediction Model Based on Biomarkers of Remodeling in Patients with Acute Anterior ST-Segment Elevation Myocardial Infarction

20 July 2021: Clinical Research

Zeyan Liu ^12ABCDEF , Lijun Liu ^1E* , Jinglin Cheng ^2BCF , Hao Zhang ^2FG

DOI: 10.12659/MSM.927404

Med Sci Monit 2021; 27:e927404

Table 6 Diagnostic performance of the prediction model.

Variable	AUC (95% CI)	SD	Sensitivity (95% CI)	Specificity (95% CI)	Z	P
Model 1	0.978 (0.955–0.991)	0.007	94.07 (88.7–97.4)	92.42 (87.8–95.7)
Model 2	0.970 (0.946–0.986)	0.009	95.56 (90.6–98.4)	89.90 (84.8–93.7)	1.092	0.275
No. stenosed coronary vessels	0.650 (0.597–0.702)	0.027	100.00 (97.3–100.00)	0.00 (0.0–1.8)	12.151
LVEDV	0.876 (0.836–0.910)	0.018	89.63 (83.2–94.2)	69.19 (62.3–75.5)	6.269
LVEF	0.684 (0.631–0.734)	0.018	60.00 (51.2–68.3)	73.23 (66.5–79.3)	9.863
TGF-β at admission	0.696 (0.644–0.745)	0.029	75.56 (67.4–82.5)	57.58 (50.4–64.6)	9.872
cTnI at admission	0.913 (0.877–0.941)	0.019	88.15 (81.5–93.1)	92.93 (88.4–96.1)	3.040	0.002
3-d cTnI	0.945 (0.914–0.967)	0.012	90.37 (84.1–94.8)	85.35 (79.6–90.0)	7.962
3-d cTnI – cardiac troponin I 3 d after admission; AUC – area under the curve; CI – confidence interval; LVEDV – left ventricular end-diastolic volume; LVEF – left ventricular ejection fraction; SD – standard deviation; TGF-β – transforming growth factor-beta.